
doi: 10.1007/bf00970968
Let \(X_ 1, X_ 2, \dots\) be a sequence of independent random variables having common probability distribution \(F\), and let \(\varphi (x_ 1, \dots, x_ m)\) be a function (kernel) assumed (without loss of generality) to be symmetric in its arguments. For each such kernel we consider the associated \(U\)-statistic \[ U_ n={n \choose m}^{-1} \sum_{C_{nm}} \varphi (X_{i_ 1}, \dots, X_{i_ m}), \tag{1} \] where \(C_{nm}\) denotes the set of \(m\)-tuples \(\{(i_ 1, \dots, i_ m)\): \(1 \leq i_ 10. \tag{3} \] The purpose of this paper is to study the behavior of large-deviation probabilities for \(U\)-statistics.
Large deviations, Cramér-type large-deviation theorems, large-deviation probabilities for \(U\)-statistics
Large deviations, Cramér-type large-deviation theorems, large-deviation probabilities for \(U\)-statistics
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